Instructions to use WindstormLabs/translate-en-ty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-en-ty with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindstormLabs/translate-en-ty")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-en-ty", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d44a4209109576bcd43b1d11297571c19610546f74ebd696461a334ef1579b
- Size of remote file:
- 768 kB
- SHA256:
- ed4970ed15e2022234f8360e721276962a0b4aaee94faa2d5cccc747db7143bb
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